set_seed

To ensure consistent results, a seed has to be set in R
using <code>set.seed</code> as usual but also in <code>numpy</code> and <code>torch</code> via <code>reticulate</code>.
Therefore this function simplifies the process into one funciton.

Implementations of classical and machine learning models for survival analysis, including deep neural networks via 'keras' and 'tensorflow'. Each model includes a separated fit and predict interface with consistent prediction types for predicting risk or survival probabilities. Models are either implemented from 'Python' via 'reticulate' <https://CRAN.R-project.org/package=reticulate>, from code in GitHub packages, or novel implementations using 'Rcpp' <https://CRAN.R-project.org/package=Rcpp>. Neural networks are implemented from the 'Python' package 'pycox' <https://github.com/havakv/pycox>.

Yohann Foucher

survivalmodels

Models for Survival Analysis

Raphael Sonabend

set_seed function

<dl><dt>seed_R</dt>
<dd>(<code>integer(1)</code>) <code>seed</code> passed to <a href="/link/set.seed?package=survivalmodels&version=0.1.191" data-mini-rdoc="survivalmodels::set.seed">set.seed</a>.</dd>
<dt>seed_np</dt>
<dd>(<code>integer(1)</code>) <code>seed</code> passed to <code>numpy$random$seed</code>. Default is same as <code>seed_R</code>.</dd>
<dt>seed_torch</dt>
<dd>(<code>integer(1)</code>) <code>seed</code> passed to <code>numpy$random$seed</code>.
Default is same as <code>seed_R</code>.</dd></dl>

Arguments

Set seed in R numpy and torch — set_seed

<dl>

<dt>seed_R</dt>
<dd>(<code>integer(1)</code>) <code>seed</code> passed to <a href='https://rdrr.io/r/base/Random.html'>set.seed</a>.</dd>


<dt>seed_np</dt>
<dd>(<code>integer(1)</code>) <code>seed</code> passed to <code>numpy$random$seed</code>. Default is same as <code>seed_R</code>.</dd>


<dt>seed_torch</dt>
<dd>(<code>integer(1)</code>) <code>seed</code> passed to <code>numpy$random$seed</code>.
Default is same as <code>seed_R</code>.</dd>

</dl>

set_seed: Set seed in R numpy and torch

Description

Usage

Value

Arguments